intelligent vision perception system
based-on maxi-net deep learning neural networks
100°
1920*1080
200m
-40°c~90°c
front windshield interior or rear view mirror
passenger car
fcw/aeb/acc/lcc/ tja/nom/tsr/ahbc/tlr等
100°
1920*1080
200m
-40°c~90°c
front windshield interior or rear view mirror
commercial vehicle
fcw/aeb/eacc/lcc/ tja/nom/tsr/ahbc/tlr, etc.
150°
57°
1920*1080
200m
-40°c~90°c
front windshield interior or rear view mirror
commercial vehicle
fcw/aeb/eacc/bsd/lcc/ tja/nom/tsr/ahbc/tlr, etc.
can identify different shapes of vehicles and their 3d shapes (length, width, height and heading angle)
can identify pedestrians and cyclists in different poses
can identify obstacles (cone barrels, tires, stones, etc.)
can identify more than 8 kinds of lane lines, such as solid lines, dashed lines and double solid lines, as well as stop lines and zebra crossing, and support 3d output
can identify 100 meters of driving area and road slope in front of the vehicle, and accurately predict the type of area boundary (such as curb, vehicle, pedestrian, etc.)
can identify various forms of traffic lights (circular, arrow, etc.) and high limit signs, speed limit signs and other traffic signs